1
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Mainieri F, La Bella S, Rinaldi M, Chiarelli F. Rare genetic forms of obesity in childhood and adolescence, a comprehensive review of their molecular mechanisms and diagnostic approach. Eur J Pediatr 2023; 182:4781-4793. [PMID: 37607976 DOI: 10.1007/s00431-023-05159-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023]
Abstract
Obesity represents a major health problem in the pediatric population with an increasing prevalence worldwide, associated with cardiovascular and metabolic disorders, and due to both genetic and environmental factors. Rare forms of obesity are mostly monogenic, and less frequently due to polygenic influence. Polygenic form of obesity is usually the common obesity with single gene variations exerting smaller impact on weight and is commonly non-syndromic.Non-syndromic monogenic obesity is associated with variants in single genes typically related to the hypothalamic leptin-melanocortin signalling pathway, which plays a key role in hunger and satiety regulation, thus body weight control. Patients with these genetic defects usually present with hyperphagia and early-onset severe obesity. Significant progress in genetic diagnostic testing has recently made for early identification of patients with genetic obesity, which guarantees prompt intervention in terms of therapeutic management of the disease. What is Known: • Obesity represents a major health problem among children and adolescents, with an increasing prevalence worldwide, associated with cardiovascular disease and metabolic abnormalities, and it can be due to both genetic and environmental factors. • Non-syndromic monogenic obesity is linked to modifications in single genes usually involved in the hypothalamic leptin-melanocortin signalling pathway, which plays a key role in hunger and satiety regulation. What is New: • The increasing understanding of rare forms of monogenic obesity has provided significant insights into the genetic causes of pediatric obesity, and our current knowledge of the various genes associated with childhood obesity is rapidly expanding. • A useful diagnostic algorithm for early identification of genetic obesity has been proposed, which can ensure a prompt intervention in terms of therapeutic management of the disease and an early prevention of the development of associated metabolic conditions.
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Affiliation(s)
| | | | - Marta Rinaldi
- Paediatric Department, Stoke Mandeville Hospital, Thames Valley Deanery, Oxford, UK
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2
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Gruber T, Lechner F, Murat C, Contreras RE, Sanchez-Quant E, Miok V, Makris K, Le Thuc O, González-García I, García-Clave E, Althammer F, Krabichler Q, DeCamp LM, Jones RG, Lutter D, Williams RH, Pfluger PT, Müller TD, Woods SC, Pospisilik JA, Martinez-Jimenez CP, Tschöp MH, Grinevich V, García-Cáceres C. High-calorie diets uncouple hypothalamic oxytocin neurons from a gut-to-brain satiation pathway via κ-opioid signaling. Cell Rep 2023; 42:113305. [PMID: 37864798 PMCID: PMC10636643 DOI: 10.1016/j.celrep.2023.113305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 08/21/2023] [Accepted: 10/04/2023] [Indexed: 10/23/2023] Open
Abstract
Oxytocin-expressing paraventricular hypothalamic neurons (PVNOT neurons) integrate afferent signals from the gut, including cholecystokinin (CCK), to adjust whole-body energy homeostasis. However, the molecular underpinnings by which PVNOT neurons orchestrate gut-to-brain feeding control remain unclear. Here, we show that mice undergoing selective ablation of PVNOT neurons fail to reduce food intake in response to CCK and develop hyperphagic obesity on a chow diet. Notably, exposing wild-type mice to a high-fat/high-sugar (HFHS) diet recapitulates this insensitivity toward CCK, which is linked to diet-induced transcriptional and electrophysiological aberrations specifically in PVNOT neurons. Restoring OT pathways in diet-induced obese (DIO) mice via chemogenetics or polypharmacology sufficiently re-establishes CCK's anorexigenic effects. Last, by single-cell profiling, we identify a specialized PVNOT neuronal subpopulation with increased κ-opioid signaling under an HFHS diet, which restrains their CCK-evoked activation. In sum, we document a (patho)mechanism by which PVNOT signaling uncouples a gut-brain satiation pathway under obesogenic conditions.
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Affiliation(s)
- Tim Gruber
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI 49506, USA; Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49506, USA.
| | - Franziska Lechner
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Cahuê Murat
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Raian E Contreras
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Eva Sanchez-Quant
- Helmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, Neuherberg, Germany
| | - Viktorian Miok
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Konstantinos Makris
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Computational Discovery Research, Institute for Diabetes and Obesity (IDO), Helmholtz Diabetes Center (HDC), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ophélia Le Thuc
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Ismael González-García
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Elena García-Clave
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | | | - Quirin Krabichler
- Department of Neuropeptide Research in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lisa M DeCamp
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI 49506, USA
| | - Russell G Jones
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI 49506, USA
| | - Dominik Lutter
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Computational Discovery Research, Institute for Diabetes and Obesity (IDO), Helmholtz Diabetes Center (HDC), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Rhiannan H Williams
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Neurogenomics, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | - Paul T Pfluger
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Research Unit NeuroBiology of Diabetes, Helmholtz Zentrum München, 85764 Neuherberg, Germany; Neurobiology of Diabetes, TUM School of Medicine, Technical University Munich, 80333 Munich, Germany
| | - Timo D Müller
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Department of Pharmacology and Experimental Therapy, Institute for Experimental and Clinical Pharmacology and Toxicology, Eberhard Karls Hospitals and Clinics, Tübingen, Germany
| | - Stephen C Woods
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - John Andrew Pospisilik
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI 49506, USA; Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49506, USA
| | - Celia P Martinez-Jimenez
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49506, USA; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias H Tschöp
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Division of Metabolic Diseases, Department of Medicine, Technische Universität, Munich, Germany
| | - Valery Grinevich
- Department of Neuropeptide Research in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Center for Neuroinflammation and Cardiometabolic Diseases, Georgia State University, Atlanta, GA, USA.
| | - Cristina García-Cáceres
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, 80336 Munich, Germany.
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3
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Novelli G, Cassadonte C, Sbraccia P, Biancolella M. Genetics: A Starting Point for the Prevention and the Treatment of Obesity. Nutrients 2023; 15:2782. [PMID: 37375686 DOI: 10.3390/nu15122782] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
Obesity is a common, serious, and costly disease. More than 1 billion people worldwide are obese-650 million adults, 340 million adolescents, and 39 million children. The WHO estimates that, by 2025, approximately 167 million people-adults and children-will become less healthy because they are overweight or obese. Obesity-related conditions include heart disease, stroke, type 2 diabetes, and certain types of cancer. These are among the leading causes of preventable, premature death. The estimated annual medical cost of obesity in the United States was nearly $173 billion in 2019 dollars. Obesity is considered the result of a complex interaction between genes and the environment. Both genes and the environment change in different populations. In fact, the prevalence changes as the result of eating habits, lifestyle, and expression of genes coding for factors involved in the regulation of body weight, food intake, and satiety. Expression of these genes involves different epigenetic processes, such as DNA methylation, histone modification, or non-coding micro-RNA synthesis, as well as variations in the gene sequence, which results in functional alterations. Evolutionary and non-evolutionary (i.e., genetic drift, migration, and founder's effect) factors have shaped the genetic predisposition or protection from obesity in modern human populations. Understanding and knowing the pathogenesis of obesity will lead to prevention and treatment strategies not only for obesity, but also for other related diseases.
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Affiliation(s)
- Giuseppe Novelli
- Department of Biomedicine and Prevention, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
- Italian Barometer Diabetes Observatory Foundation, IBDO, 00186 Rome, Italy
- Department of Pharmacology, School of Medicine, University of Nevada, Reno, NV 89557, USA
| | - Carmen Cassadonte
- Department of Biomedicine and Prevention, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Paolo Sbraccia
- Italian Barometer Diabetes Observatory Foundation, IBDO, 00186 Rome, Italy
- Department of Systems Medicine, Medical School, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Michela Biancolella
- Department of Biology, Tor Vergata University of Rome, Via della Ricerca Scientifica 1, 00133 Rome, Italy
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4
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Banik S. Genetic, Epigenetic, and Molecular Biology of Obesity: From Pathology to Therapeutics the Way Forward. JOURNAL OF THE ASSOCIATION OF PHYSICIANS OF INDIA 2022; 70:11-12. [DOI: 10.5005/japi-11001-0080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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5
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Juriaans AF, Kerkhof GF, Hokken-Koelega ACS. The Spectrum of the Prader-Willi-like Pheno- and Genotype: A Review of the Literature. Endocr Rev 2022; 43:1-18. [PMID: 34460908 DOI: 10.1210/endrev/bnab026] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Indexed: 12/16/2022]
Abstract
Prader-Willi syndrome (PWS) is a rare genetic syndrome, caused by the loss of expression of the paternal chromosome 15q11-q13 region. Over the past years, many cases of patients with characteristics similar to PWS, but without a typical genetic aberration of the 15q11-q13 region, have been described. These patients are often labelled as Prader-Willi-like (PWL). PWL is an as-yet poorly defined syndrome, potentially affecting a significant number of children and adults. In the current clinical practice, patients labelled as PWL are mostly left without treatment options. Considering the similarities with PWS, children with PWL might benefit from the same care and treatment as children with PWS. This review gives more insight into the pheno- and genotype of PWL and includes 86 papers, containing 368 cases of patients with a PWL phenotype. We describe mutations and aberrations for consideration when suspicion of PWS remains after negative testing. The most common genetic diagnoses were Temple syndrome (formerly known as maternal uniparental disomy 14), Schaaf-Yang syndrome (truncating mutation in the MAGEL2 gene), 1p36 deletion, 2p deletion, 6q deletion, 6q duplication, 15q deletion, 15q duplication, 19p deletion, fragile X syndrome, and Xq duplication. We found that the most prevalent symptoms in the entire group were developmental delay/intellectual disability (76%), speech problems (64%), overweight/obesity (57%), hypotonia (56%), and psychobehavioral problems (53%). In addition, we propose a diagnostic approach to patients with a PWL phenotype for (pediatric) endocrinologists. PWL comprises a complex and diverse group of patients, which calls for multidisciplinary care with an individualized approach.
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Affiliation(s)
- Alicia F Juriaans
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands.,Dutch Growth Research Foundation, Rotterdam, The Netherlands
| | - Gerthe F Kerkhof
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands
| | - Anita C S Hokken-Koelega
- National Reference Center for Prader-Willi Syndrome and Prader-Willi-like, The Netherlands.,Department of Pediatrics, Subdivision of Endocrinology, Erasmus Medical Center, The Netherlands.,Dutch Growth Research Foundation, Rotterdam, The Netherlands
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6
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Kehinde TA, Bhatia A, Olarewaju B, Shoaib MZ, Mousa J, Osundiji MA. Syndromic obesity with neurodevelopmental delay: Opportunities for targeted interventions. Eur J Med Genet 2022; 65:104443. [DOI: 10.1016/j.ejmg.2022.104443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/09/2022] [Accepted: 01/22/2022] [Indexed: 01/01/2023]
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7
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De Rosa MC, Glover HJ, Stratigopoulos G, LeDuc CA, Su Q, Shen Y, Sleeman MW, Chung WK, Leibel RL, Altarejos JY, Doege CA. Gene expression atlas of energy balance brain regions. JCI Insight 2021; 6:e149137. [PMID: 34283813 PMCID: PMC8409984 DOI: 10.1172/jci.insight.149137] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Energy balance is controlled by interconnected brain regions in the hypothalamus, brainstem, cortex, and limbic system. Gene expression signatures of these regions can help elucidate the pathophysiology underlying obesity. RNA sequencing was conducted on P56 C57BL/6NTac male mice and E14.5 C57BL/6NTac embryo punch biopsies in 16 obesity-relevant brain regions. The expression of 190 known obesity-associated genes (monogenic, rare, and low-frequency coding variants; GWAS; syndromic) was analyzed in each anatomical region. Genes associated with these genetic categories of obesity had localized expression patterns across brain regions. Known monogenic obesity causal genes were highly enriched in the arcuate nucleus of the hypothalamus and developing hypothalamus. The obesity-associated genes clustered into distinct “modules” of similar expression profile, and these were distinct from expression modules formed by similar analysis with genes known to be associated with other disease phenotypes (type 1 and type 2 diabetes, autism, breast cancer) in the same energy balance–relevant brain regions.
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Affiliation(s)
- Maria Caterina De Rosa
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and
| | - Hannah J Glover
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and
| | - George Stratigopoulos
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons
| | - Charles A LeDuc
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Qi Su
- Regeneron Pharmaceuticals Inc., Tarrytown, New York, USA
| | - Yufeng Shen
- Department of Systems Biology.,Department of Biomedical Informatics
| | - Mark W Sleeman
- Regeneron Pharmaceuticals Inc., Tarrytown, New York, USA
| | - Wendy K Chung
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Department of Medicine.,Herbert Irving Comprehensive Cancer Center.,Institute of Human Nutrition
| | - Rudolph L Leibel
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Institute of Human Nutrition
| | | | - Claudia A Doege
- Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
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8
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Yang Y, Xu Y. The central melanocortin system and human obesity. J Mol Cell Biol 2020; 12:785-797. [PMID: 32976556 PMCID: PMC7816681 DOI: 10.1093/jmcb/mjaa048] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/04/2020] [Accepted: 08/14/2020] [Indexed: 12/13/2022] Open
Abstract
The prevalence of obesity and the associated comorbidities highlight the importance of understanding the regulation of energy homeostasis. The central melanocortin system plays a critical role in controlling body weight balance. Melanocortin neurons sense and integrate the neuronal and hormonal signals, and then send regulatory projections, releasing anorexigenic or orexigenic melanocortin neuropeptides, to downstream neurons to regulate the food intake and energy expenditure. This review summarizes the latest progress in our understanding of the role of the melanocortin pathway in energy homeostasis. We also review the advances in the identification of human genetic variants that cause obesity via mechanisms that affect the central melanocortin system, which have provided rational targets for treatment of genetically susceptible patients.
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Affiliation(s)
- Yongjie Yang
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Yong Xu
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
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9
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Tabasi M, Ashrafian F, Khezerloo JK, Eshghjoo S, Behrouzi A, Javadinia SA, Poursadegh F, Eybpoosh S, Ahmadi S, Radmanesh A, Soroush A, Siadat SD. Changes in Gut Microbiota and Hormones After Bariatric Surgery: a Bench-to-Bedside Review. Obes Surg 2020; 29:1663-1674. [PMID: 30793228 DOI: 10.1007/s11695-019-03779-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Overweight and obesity are among the most prevalent non-communicable diseases which are generally treated successfully by bariatric or sleeve surgery. There are evidences affirming that sleeve surgery can manipulate the pH of the stomach and interact with the metabolism of fatty acids, carbohydrates, and bile acid transfer, leading to the overgrowth of gut microbiota. Therefore, this study aims to review the changes in gut microbiota and hormones after bariatric surgery.
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Affiliation(s)
- Mohsen Tabasi
- Department of Molecular Biology, Pasteur Institute of Iran, Pasteur Ave., Tehran, 13164, Iran
- Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran
| | - Fatemeh Ashrafian
- Department of Mycobacteriology and Pulmonary Research, Microbiology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Jamil Kheirvari Khezerloo
- Young Researchers and Elite Club, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Sahar Eshghjoo
- Microbial Pathogenesis and Immunology Department, Texas A&M University, Bryan, TX, USA
| | - Ava Behrouzi
- Department of Mycobacteriology and Pulmonary Research, Microbiology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Seyed Alireza Javadinia
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran
| | - Farid Poursadegh
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran
| | - Sana Eybpoosh
- Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
| | - Sara Ahmadi
- Department of Mycobacteriology and Pulmonary Research, Microbiology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Amin Radmanesh
- Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran
| | - Ahmadreza Soroush
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Microbiology Research Center, Pasteur Institute of Iran, Tehran, Iran.
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10
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Blackburn PR, Sullivan AE, Gerassimou AG, Kleinendorst L, Bersten DC, Cooiman M, Harris KG, Wierenga KJ, Klee EW, van Gerpen JA, Ross OA, van Haelst MM, Whitelaw ML, Caulfield TR, Atwal PS. Functional Analysis of the SIM1 Variant p.G715V in 2 Patients With Obesity. J Clin Endocrinol Metab 2020; 105:5623030. [PMID: 31872862 DOI: 10.1210/clinem/dgz192] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 11/11/2019] [Indexed: 01/17/2023]
Abstract
CONTEXT Single-minded homologue 1 (SIM1) is a transcription factor with several physiological and developmental functions. Haploinsufficiency of SIM1 is associated with early-onset obesity with or without Prader-Willi-like (PWL) features and may exhibit incomplete penetrance. CASE DESCRIPTION Next-generation sequencing was performed for 2 male patients with obesity, including 1 man presenting with intellectual disability (ID), body mass index (BMI) of 47.4, and impulse-control disorder, and the other man with early obesity (BMI of 36); sequencing revealed a missense variant in SIM1 (c.2144G>T; p.G715V) in both individuals. Previous studies have identified several disease-associated variants that fall near the p.G715V variant within the C-terminal domain of SIM1. We examined p.G715V variant stability and activity in a doxycycline-inducible stable cell line transfected with an artificial reporter construct and either ARNT or ARNT2 as a partner protein. CONCLUSIONS Functional testing of the p.G715V variant revealed a significant reduction in SIM1-mediated transcriptional activity. We also generated the first ab initio hybrid protein model for full-length SIM1 to show the predicted spatial relationship between p.G715V and other previously described variants in this region and identified a putative mutation hotspot within the C-terminus. Significant clinical heterogeneity has been observed in patients with SIM1 variants, particularly with regards to the PWL phenotype. In the patient with ID, a second variant of uncertain significance in CHD2 was identified that may contribute to his ID and behavioral disturbances, emphasizing the role of additional genetic modifiers.
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Affiliation(s)
- Patrick R Blackburn
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Adrienne E Sullivan
- Department of Molecular and Cellular Biology, University of Adelaide, South Australia, Australia
| | - Alexis G Gerassimou
- Department of Molecular and Cellular Biology, University of Adelaide, South Australia, Australia
| | - Lotte Kleinendorst
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - David C Bersten
- Department of Molecular and Cellular Biology, University of Adelaide, South Australia, Australia
| | - Mellody Cooiman
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | | | - Klaas J Wierenga
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, Florida
| | - Eric W Klee
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
- Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota
| | | | - Owen A Ross
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, Florida
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
| | - Mieke M van Haelst
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - Murray L Whitelaw
- Department of Molecular and Cellular Biology, University of Adelaide, South Australia, Australia
| | - Thomas R Caulfield
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida
| | - Paldeep S Atwal
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, Florida
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11
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Akıncı A, Türkkahraman D, Tekedereli İ, Özer L, Evren B, Şahin İ, Kalkan T, Çürek Y, Çamtosun E, Döğer E, Bideci A, Güven A, Eren E, Sangün Ö, Çayır A, Bilir P, Törel Ergür A, Ercan O. Novel Mutations in Obesity-related Genes in Turkish Children with Non-syndromic Early Onset Severe Obesity: A Multicentre Study. J Clin Res Pediatr Endocrinol 2019; 11:341-349. [PMID: 30991789 PMCID: PMC6878344 DOI: 10.4274/jcrpe.galenos.2019.2019.0021] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE Non syndromic monogenic obesity is a rare cause of early onset severe obesity in the childhood period. This form may not be distinguishable from other forms of severe obesity without genetic analysis, particularly if patients do not exibit any physical abnormalities or developmental delay. The aim of this study was to screen 41 different obesity-related genes in children with non-syndromic early onset severe obesity. METHODS Children with severe (body mass index-standard deviation score >3) and early onset (<7 years) obesity were screened by next-generation sequencing based, targeted DNA custom panel for 41 known-obesity-related genes and the results were confirmed by Sanger technique. RESULTS Six novel variants were identified in five candidate genes in seven out of 105 children with severe obesity; two in SIM1 (p.W306C and p.Q36X), one in POMC (p.Y160H), one in PCSK1 (p.W130G fs Ter8), two in MC4R (p.D126E) and one in LEPR (p.Q4H). Additionally, two previously known variations in MC4R were identified in four patients (p.R165W in three, and p.V166I in one). CONCLUSION We identified six novel and four previously described variants in six obesity-related genes in 11 out of 105 childrens with early onset severe obesity. The prevalence of monogenic obesity was 10.4% in our cohort.
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Affiliation(s)
- Ayşehan Akıncı
- nönü University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Malatya, Turkey,* Address for Correspondence: İnönü University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Malatya, Turkey Phone: +90 532 643 53 50 E-mail:
| | - Doğa Türkkahraman
- Antalya Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, Antalya, Turkey
| | - İbrahim Tekedereli
- İnönü University Faculty of Medicine, Department of Molecular Genetics, Malatya, Turkey
| | - Leyla Özer
- Yüksek İhtisas University Faculty of Medicine, Department of Molecular Genetics, Ankara, Turkey
| | - Bahri Evren
- İnönü University Faculty of Medicine, Department of Endocrinology and Diabetes, Malatya, Turkey
| | - İbrahim Şahin
- İnönü University Faculty of Medicine, Department of Endocrinology and Diabetes, Malatya, Turkey
| | - Tarkan Kalkan
- Antalya Training and Research Hospital, Clinic of Molecular Genetics, Antalya, Turkey
| | - Yusuf Çürek
- Antalya Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, Antalya, Turkey
| | - Emine Çamtosun
- nönü University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Malatya, Turkey
| | - Esra Döğer
- Gazi University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Ankara, Turkey
| | - Aysun Bideci
- Gazi University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Ankara, Turkey
| | - Ayla Güven
- Göztepe Training and Research Hospital, Clinic of Pediatric Endocrinology and Diabetes, İstanbul, Turkey
| | - Erdal Eren
- Uludağ University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Bursa, Turkey
| | - Özlem Sangün
- Başkent University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Adana, Turkey
| | - Atilla Çayır
- Erzurum Training and Reseach Hospital, Clinic of Pediatric Endocrinology and Diabetes, Erzurum, Turkey
| | - Pelin Bilir
- Ankara University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Ankara, Turkey
| | - Ayça Törel Ergür
- Ufuk University Faculty of Medicine, Department of Pediatric Endocrinology and Diabetes, Ankara, Turkey
| | - Oya Ercan
- İstanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine, Departments of Pediatric Endocrinology and Diabetes, and Adolescent, İstanbul, Turkey
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12
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Niazi RK, Gjesing AP, Hollensted M, Have CT, Borisevich D, Grarup N, Pedersen O, Ullah A, Shahid G, Shafqat I, Gul A, Hansen T. Screening of 31 genes involved in monogenic forms of obesity in 23 Pakistani probands with early-onset childhood obesity: a case report. BMC MEDICAL GENETICS 2019; 20:152. [PMID: 31488071 PMCID: PMC6727494 DOI: 10.1186/s12881-019-0886-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 08/29/2019] [Indexed: 11/10/2022]
Abstract
BACKGROUND Consanguine families display a high degree of homozygosity which increases the risk of family members suffering from autosomal recessive disorders. Thus, homozygous mutations in monogenic obesity genes may be a more frequent cause of childhood obesity in a consanguineous population. METHODS We identified 23 probands from 23 Pakistani families displaying autosomal recessive obesity. We have previously excluded mutations in MC4R, LEP and LEPR in all probands. Using a chip-based, target-region capture array, 31 genes involved in monogenic forms of obesity, were screened in all probands. RESULTS We identified 31 rare non-synonymous possibly pathogenic variants (28 missense and three nonsense) within the 31 selected genes. All variants were heterozygous, thus no homozygous pathogenic variants were found. Two of the rare heterozygous nonsense variants identified (p.R75X and p.R481X) were found in BBS9 within one proband, suggesting that obesity is caused by compound heterozygosity. Sequencing of the parents supported the compound heterozygous nature of obesity as each parent was carrying one of the variants. Subsequent clinical investigation strongly indicated that the proband had Bardet-Biedl syndrome. CONCLUSIONS Mutation screening in 31 genes among probands with severe early-onset obesity from Pakistani families did not reveal the presence of homozygous obesity causing variants. However, a compound heterozygote carrier of BBS9 mutations was identified, indicating that compound heterozygosity must not be overlooked when investigating the genetic etiology of severe childhood obesity in populations with a high degree of consanguinity.
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Affiliation(s)
- Robina Khan Niazi
- Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
- Children Hospital, Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan
| | - Anette Prior Gjesing
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Hollensted
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Theil Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dmitrii Borisevich
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Asmat Ullah
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
- Department of Molecular Biology, Shaheed Zulfiqar Ali Bhutto Medical University, PIMS, Islamabad, Pakistan
| | - Gulbin Shahid
- Children Hospital, Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan
| | - Ifrah Shafqat
- Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
| | - Asma Gul
- Department of Biological Sciences, International Islamic University, Islamabad, Pakistan
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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13
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Serra-Juhé C, Martos-Moreno GÁ, Bou de Pieri F, Flores R, Chowen JA, Pérez-Jurado LA, Argente J. Heterozygous rare genetic variants in non-syndromic early-onset obesity. Int J Obes (Lond) 2019; 44:830-841. [PMID: 30926952 PMCID: PMC7101277 DOI: 10.1038/s41366-019-0357-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 01/07/2019] [Accepted: 02/07/2019] [Indexed: 11/09/2022]
Abstract
BACKGROUND Obesity is a very heterogeneous disorder at both the clinical and molecular levels and with high heritability. Several monogenic forms and genes with strong effects have been identified for non-syndromic severe obesity. Novel therapeutic interventions are in development for some genetic forms, emphasizing the importance of determining genetic contributions. OBJECTIVE We aimed to define the contribution of rare single-nucleotide genetic variants (RSVs) in candidate genes to non-syndromic severe early-onset obesity (EOO; body mass index (BMI) >+3 standard deviation score, <3 years). METHODS Using a pooled DNA-sequencing approach, we screened for RSVs in 15 obesity candidate genes in a series of 463 EOO patients and 480 controls. We also analysed exome data from 293 EOO patients from the "Viva la Familia" (VLF) study as a replication dataset. RESULTS Likely or known pathogenic RSVs were identified in 23 patients (5.0%), with 7 of the 15 genes (BDNF, FTO, MC3R, MC4R, NEGR1, PPARG and SIM1) harbouring RSVs only in cases (3.67%) and none in controls. All were heterozygous changes, either de novo (one in BDNF) or inherited from obese parents (seven maternal, three paternal), and no individual carried more than one variant. Results were replicated in the VLF study, where 4.10% of probands carried RSVs in the overrepresented genes. RSVs in five genes were either absent (LEP) or more common in controls than in cases (ADRB3, LEPR, PCSK1 and PCSK2) in both obese datasets. CONCLUSIONS Heterozygous RSVs in several candidate genes of the melanocortin pathway are found in ~5.0% patients with EOO. These results support the clinical utility of genetic testing to identify patients who might benefit from targeted therapeutic intervention.
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Affiliation(s)
- Clara Serra-Juhé
- Genetics Unit, Universitat Pompeu Fabra, Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader, 8, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain
| | - Gabriel Á Martos-Moreno
- Hospital Infantil Universitario Niño Jesús, Department of Endocrinology, Instituto de Investigación La Princesa, Universidad Autónoma de Madrid, Department of Pediatrics, Avenida Menéndez Pelayo, 65, 28009, Madrid, Spain.,CIBER de Fisiopatología de la Obesidad y Nutriciόn (CIBEROBN), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain
| | - Francesc Bou de Pieri
- Genetics Unit, Universitat Pompeu Fabra, Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader, 8, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain
| | - Raquel Flores
- Genetics Unit, Universitat Pompeu Fabra, Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader, 8, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain
| | - Julie A Chowen
- Hospital Infantil Universitario Niño Jesús, Department of Endocrinology, Instituto de Investigación La Princesa, Universidad Autónoma de Madrid, Department of Pediatrics, Avenida Menéndez Pelayo, 65, 28009, Madrid, Spain.,CIBER de Fisiopatología de la Obesidad y Nutriciόn (CIBEROBN), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain
| | - Luis A Pérez-Jurado
- Genetics Unit, Universitat Pompeu Fabra, Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader, 8, 08003, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain.,Women's and Children's Hospital, South Australia Medical and Health Research Institute (SAMHRI) and University of Adelaide, 72 King William Road, North Adelaide, SA, 5006, Australia
| | - Jesús Argente
- Hospital Infantil Universitario Niño Jesús, Department of Endocrinology, Instituto de Investigación La Princesa, Universidad Autónoma de Madrid, Department of Pediatrics, Avenida Menéndez Pelayo, 65, 28009, Madrid, Spain. .,CIBER de Fisiopatología de la Obesidad y Nutriciόn (CIBEROBN), Instituto de Salud Carlos III, C/Sinesio Delgado, 4, 28029, Madrid, Spain. .,IMDEA Food Institute, CEIUAM + CSI, Crta. de Cantoblanco, 8, 28049, Madrid, Spain.
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14
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Tam V, Turcotte M, Meyre D. Established and emerging strategies to crack the genetic code of obesity. Obes Rev 2019; 20:212-240. [PMID: 30353704 DOI: 10.1111/obr.12770] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 08/27/2018] [Accepted: 08/28/2018] [Indexed: 12/11/2022]
Abstract
Tremendous progress has been made in the genetic elucidation of obesity over the past two decades, driven largely by technological, methodological and organizational innovations. Current strategies for identifying obesity-predisposing loci/genes, including cytogenetics, linkage analysis, homozygosity mapping, admixture mapping, candidate gene studies, genome-wide association studies, custom genotyping arrays, whole-exome sequencing and targeted exome sequencing, have achieved differing levels of success, and the identified loci in aggregate explain only a modest fraction of the estimated heritability of obesity. This review outlines the successes and limitations of these approaches and proposes novel strategies, including the use of exceptionally large sample sizes, the study of diverse ethnic groups and deep phenotypes and the application of innovative methods and study designs, to identify the remaining obesity-predisposing genes. The use of both established and emerging strategies has the potential to crack the genetic code of obesity in the not-too-distant future. The resulting knowledge is likely to yield improvements in obesity prediction, prevention and care.
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Affiliation(s)
- V Tam
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - M Turcotte
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - D Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
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15
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Aristidou C, Theodosiou A, Ketoni A, Bak M, Mehrjouy MM, Tommerup N, Sismani C. Cryptic breakpoint identified by whole-genome mate-pair sequencing in a rare paternally inherited complex chromosomal rearrangement. Mol Cytogenet 2018; 11:34. [PMID: 29930709 PMCID: PMC5991433 DOI: 10.1186/s13039-018-0384-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/15/2018] [Indexed: 11/21/2022] Open
Abstract
Background Precise characterization of apparently balanced complex chromosomal rearrangements in non-affected individuals is crucial as they may result in reproductive failure, recurrent miscarriages or affected offspring. Case presentation We present a family, where the non-affected father and daughter were found, using FISH and karyotyping, to be carriers of a three-way complex chromosomal rearrangement [t(6;7;10)(q16.2;q34;q26.1), de novo in the father]. The family suffered from two stillbirths, one miscarriage, and has a son with severe intellectual disability. In the present study, the family was revisited using whole-genome mate-pair sequencing. Interestingly, whole-genome mate-pair sequencing revealed a cryptic breakpoint on derivative (der) chromosome 6 rendering the rearrangement even more complex. FISH using a chromosome (chr) 6 custom-designed probe and a chr10 control probe confirmed that the interstitial chr6 segment, created by the two chr6 breakpoints, was translocated onto der(10). Breakpoints were successfully validated with Sanger sequencing, and small imbalances as well as microhomology were identified. Finally, the complex chromosomal rearrangement breakpoints disrupted the SIM1, GRIK2, CNTNAP2, and PTPRE genes without causing any phenotype development. Conclusions In contrast to the majority of maternally transmitted complex chromosomal rearrangement cases, our study investigated a rare case where a complex chromosomal rearrangement, which most probably resulted from a Type IV hexavalent during the pachytene stage of meiosis I, was stably transmitted from a fertile father to his non-affected daughter. Whole-genome mate-pair sequencing proved highly successful in identifying cryptic complexity, which consequently provided further insight into the meiotic segregation of chromosomes and the increased reproductive risk in individuals carrying the specific complex chromosomal rearrangement. We propose that such complex rearrangements should be characterized in detail using a combination of conventional cytogenetic and NGS-based approaches to aid in better prenatal preimplantation genetic diagnosis and counseling in couples with reproductive problems.
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Affiliation(s)
- Constantia Aristidou
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,2The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Athina Theodosiou
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Andria Ketoni
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Mads Bak
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mana M Mehrjouy
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Niels Tommerup
- 3Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Carolina Sismani
- 1Department of Cytogenetics and Genomics, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.,2The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
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16
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Geets E, Meuwissen MEC, Van Hul W. Clinical, molecular genetics and therapeutic aspects of syndromic obesity. Clin Genet 2018; 95:23-40. [PMID: 29700824 DOI: 10.1111/cge.13367] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 04/05/2018] [Accepted: 04/16/2018] [Indexed: 12/13/2022]
Abstract
Obesity has become a major health problem worldwide. To date, more than 25 different syndromic forms of obesity are known in which one (monogenic) or multiple (polygenic) genes are involved. This review gives an overview of these forms and focuses more in detail on 6 syndromes: Prader Willi Syndrome and Prader Willi like phenotype, Bardet Biedl Syndrome, Alström Syndrome, Wilms tumor, Aniridia, Genitourinary malformations and mental Retardation syndrome and 16p11.2 (micro)deletions. Years of research provided plenty of information on the molecular genetics of these disorders and the obesity phenotype leading to a more individualized treatment of the symptoms, however, many questions still remain unanswered. As these obesity syndromes have different signs and symptoms in common, it makes it difficult to accurately diagnose patients which may result in inappropriate treatment of the disease. Therefore, the big challenge for clinicians and scientists is to more clearly differentiate all syndromic forms of obesity to provide conclusive genetic explanations and eventually deliver accurate genetic counseling and treatment. In addition, further delineation of the (functions of the) underlying genes with the use of array- or next-generation sequencing-based technology will be helpful to unravel the mechanisms of energy metabolism in the general population.
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Affiliation(s)
- E Geets
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - M E C Meuwissen
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - W Van Hul
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
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17
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Candelo E, Feinstein MM, Ramirez-Montaño D, Gomez JF, Pachajoa H. First Case Report of Prader-Willi-Like Syndrome in Colombia. Front Genet 2018; 9:98. [PMID: 29619043 PMCID: PMC5871659 DOI: 10.3389/fgene.2018.00098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 03/08/2018] [Indexed: 11/13/2022] Open
Abstract
Background: Prader-Willi-like syndrome (PWLS) is believed to be caused by a variety of disruptions in genetic pathways both inside and outside of the genetic region implicated in PWS. By definition, PWLS does not demonstrate mutations in the 15q11-q13 region itself. It is a rare disorder whose clinical hallmarks include hypotonia, obesity, short extremities, and delayed development. This syndrome has been described in patients with 1p, 2p, 3p, 6q, and 9q chromosome abnormalities and in cases with maternal uniparental disomy of chromosome 14 and fragile X syndrome. Case presentation: In the present report, we describe a 9-year-old Colombian patient who demonstrated features of PWS and was ultimately diagnosed with PWLS after genetic analysis revealed a 14.97 Mb deletion of 6q16.1-q21. Conclusions: This is the first reported case of PWLS in Colombia and represents one of the largest documented 6q21 deletions.
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Affiliation(s)
| | - Max M Feinstein
- Health School, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | | | - Juan F Gomez
- Paediatric Neurology, Fundación Valle Del Lili, Cali, Colombia
| | - Harry Pachajoa
- Health Sciences Faculty, Universidad Icesi, Cali, Colombia.,Genetics Department, Fundacion Valle del Lili, Cali, Colombia
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18
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Geets E, Aerts E, Verrijken A, Van Hoorenbeeck K, Verhulst S, Van Gaal L, Van Hul W. DNA sequencing and copy number variation analysis of MCHR2 in a cohort of Prader Willi like (PWL) patients. Obes Res Clin Pract 2017; 12:158-166. [PMID: 29066024 DOI: 10.1016/j.orcp.2017.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Accepted: 10/02/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Prader Willi Syndrome (PWS) is a syndromic form of obesity caused by a chromosomal aberration on chromosome 15q11.2-q13. Patients with a comparable phenotype to PWS not carrying the 15q11.2-q13 defect are classified as Prader Willi like (PWL). In literature, PWL patients do frequently harbor deletions at 6q16, which led to the identification of the single-minded 1 (SIM1) gene as a possible cause for the presence of obesity in these patients. However, our previous work in a PWL cohort showed a rather limited involvement of SIM1 in the obesity phenotype. In this paper, we investigated the causal role of the melanin-concentrating hormone receptor 2 (MCHR2) gene in PWL patients, as most of the reported 6q16 deletions also encompass this gene and it is suggested to be active in the control of feeding behavior and energy metabolism. METHODS Copy number variation analysis of the MCHR2 genomic region followed by mutation analysis of MCHR2 was performed in a PWL cohort. RESULTS Genome-wide microarray analysis of 109 patients with PWL did not show any gene harboring deletions on chromosome 6q16. Mutation analysis in 92 patients with PWL demonstrated three MCHR2 variants: p.T47A (c.139A>G), p.A76A (c.228T>C) and c.*16A>G. We identified a significantly higher prevalence of the c.228T>C C allele in our PWL cohort compared to previously published results and controls of the ExAC Database. CONCLUSION Overall, our results are in line with some previously performed studies suggesting that MCHR2 is not a major contributor to human obesity and the PWL phenotype.
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Affiliation(s)
- Ellen Geets
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Evi Aerts
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - An Verrijken
- Department of Endocrinology, Diabetology and Metabolic Diseases, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Stijn Verhulst
- Department of Paediatrics, Antwerp University Hospital, Antwerp, Belgium
| | - Luc Van Gaal
- Department of Endocrinology, Diabetology and Metabolic Diseases, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Wim Van Hul
- Department of Medical Genetics, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium.
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19
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Stanikova D, Buzga M, Krumpolec P, Skopkova M, Surova M, Ukropcova B, Ticha L, Petrasova M, Gabcova D, Huckova M, Piskorova L, Bozensky J, Mokan M, Ukropec J, Zavacka I, Klimes I, Stanik J, Gasperikova D. Genetic analysis of single-minded 1 gene in early-onset severely obese children and adolescents. PLoS One 2017; 12:e0177222. [PMID: 28472148 PMCID: PMC5417716 DOI: 10.1371/journal.pone.0177222] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 04/24/2017] [Indexed: 11/23/2022] Open
Abstract
Background Inactivating mutations of the hypothalamic transcription factor singleminded1 (SIM1) have been shown as a cause of early-onset severe obesity. However, to date, the contribution of SIM1 mutations to the obesity phenotype has only been studied in a few populations. In this study, we screened the functional regions of SIM1 in severely obese children of Slovak and Moravian descent to determine if genetic variants within SIM1 may influence the development of obesity in these populations. Methods The SIM1 promoter region, exons and exon-intron boundaries were sequenced in 126 unrelated obese children and adolescents (2–18 years of age) and 41 adult lean controls of Slovak and Moravian origin. Inclusion criteria for the children and adolescents were a body mass index standard deviation score higher than 2 SD for an appropriate age and sex, and obesity onset at less than 5 years of age. The clinical phenotypes of the SIM1 variant carriers were compared with clinical phenotypes of 4 MC4R variant carriers and with 27 unrelated SIM1 and MC4R mutation negative obese controls that were matched for age and gender. Results Seven previously described SIM1 variants and one novel heterozygous variant p.D134N were identified. The novel variant was predicted to be pathogenic by 7 in silico software analyses and is located at a highly conserved position of the SIM1 protein. The p.D134N variant was found in an 18 year old female proband (BMI 44.2kg/m2; +7.5 SD), and in 3 obese family members. Regardless of early onset severe obesity, the proband and her brother (age 16 years) did not fulfill the criteria of metabolic syndrome. Moreover, the variant carriers had significantly lower preferences for high sugar (p = 0.02) and low fat, low carbohydrate, high protein (p = 0.02) foods compared to the obese controls. Conclusions We have identified a novel SIM1 variant, p.D134N, in 4 obese individuals from a single pedigree which is also associated with lower preference for certain foods.
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Affiliation(s)
- Daniela Stanikova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
- Department of Pediatrics, Medical Faculty of Comenius University, Bratislava, Slovakia
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Marek Buzga
- Department of Physiology and Pathophysiology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Patrik Krumpolec
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Martina Skopkova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Martina Surova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Barbara Ukropcova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
- Institute of Pathophysiolgy, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Lubica Ticha
- Department of Pediatrics, Medical Faculty of Comenius University, Bratislava, Slovakia
| | - Miroslava Petrasova
- Department of Pediatrics, Medical Faculty of Safarik University, Kosice, Slovakia
| | - Dominika Gabcova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Miroslava Huckova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Lucie Piskorova
- Department of Pediatrics, Vitkovice Hospital, Ostrava, Czech Republic
| | - Jan Bozensky
- Department of Pediatrics, Vitkovice Hospital, Ostrava, Czech Republic
| | - Marian Mokan
- Department of Internal Medicine, Jessenius Medical Faculty of Comenius University, Martin, Slovakia
| | - Jozef Ukropec
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Ivona Zavacka
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Iwar Klimes
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Juraj Stanik
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
- Department of Pediatrics, Medical Faculty of Comenius University, Bratislava, Slovakia
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Daniela Gasperikova
- Laboratory of Diabetes and Metabolic Disorders, Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
- * E-mail:
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20
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Singh RK, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. C R Biol 2017; 340:87-108. [PMID: 28089486 DOI: 10.1016/j.crvi.2016.11.007] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 10/03/2016] [Accepted: 11/10/2016] [Indexed: 12/25/2022]
Abstract
Obesity and its related health complications is a major problem worldwide. Hypothalamus and their signalling molecules play a critical role in the intervening and coordination with energy balance and homeostasis. Genetic factors play a crucial role in determining an individual's predisposition to the weight gain and being obese. In the past few years, several genetic variants were identified as monogenic forms of human obesity having success over common polygenic forms. In the context of molecular genetics, genome-wide association studies (GWAS) approach and their findings signified a number of genetic variants predisposing to obesity. However, the last couple of years, it has also been noticed that alterations in the environmental and epigenetic factors are one of the key causes of obesity. Hence, this review might be helpful in the current scenario of molecular genetics of human obesity, obesity-related health complications (ORHC), and energy homeostasis. Future work based on the clinical discoveries may play a role in the molecular dissection of genetic approaches to find more obesity-susceptible gene loci.
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Affiliation(s)
- Rajan Kumar Singh
- Department of Bio-Medical Sciences, School of Biosciences and Technology, VIT University, 632014 Vellore, India
| | - Permendra Kumar
- Department of Bio-Medical Sciences, School of Biosciences and Technology, VIT University, 632014 Vellore, India
| | - Kulandaivelu Mahalingam
- Department of Bio-Medical Sciences, School of Biosciences and Technology, VIT University, 632014 Vellore, India.
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21
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Ignatieva EV, Afonnikov DA, Saik OV, Rogaev EI, Kolchanov NA. A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network. BMC Genet 2016; 17:158. [PMID: 28105929 PMCID: PMC5249002 DOI: 10.1186/s12863-016-0466-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background Obesity is heritable. It predisposes to many diseases. The objectives of this study were to create a compendium of genes relevant to feeding behavior (FB) and/or body weight (BW) regulation; to construct and to analyze networks formed by associations between genes/proteins; and to identify the most significant genes, biological processes/pathways, and tissues/organs involved in BW regulation. Results The compendium of genes controlling FB or BW includes 578 human genes. Candidate genes were identified from various sources, including previously published original research and review articles, GWAS meta-analyses, and OMIM (Online Mendelian Inheritance in Man). All genes were ranked according to knowledge about their biological role in body weight regulation and classified according to expression patterns or functional characteristics. Substantial and overrepresented numbers of genes from the compendium encoded cell surface receptors, signaling molecules (hormones, neuropeptides, cytokines), transcription factors, signal transduction proteins, cilium and BBSome components, and lipid binding proteins or were present in the brain-specific list of tissue-enriched genes identified with TSEA tool. We identified 27 pathways from KEGG, REACTOME and BIOCARTA whose genes were overrepresented in the compendium. Networks formed by physical interactions or homological relationships between proteins or interactions between proteins involved in biochemical/signaling pathways were reconstructed and analyzed. Subnetworks and clusters identified by the MCODE tool included genes/proteins associated with cilium morphogenesis, signal transduction proteins (particularly, G protein–coupled receptors, kinases or proteins involved in response to insulin stimulus) and transcription regulation (particularly nuclear receptors). We ranked GWAS genes according to the number of neighbors in three networks and revealed 22 GWAS genes involved in the brain-specific PPI network. On the base of the most reliable PPIs functioning in the brain tissue, new regulatory schemes interpreting relevance to BW regulation are proposed for three GWAS genes (ETV5, LRP1B, and NDUFS3). Conclusions A compendium comprising 578 human genes controlling FB or BW was designed, and the most significant functional groups of genes, biological processes/pathways, and tissues/organs involved in BW regulation were revealed. We ranked genes from the GWAS meta-analysis set according to the number and quality of associations in the networks and then according to their involvement in the brain-specific PPI network and proposed new regulatory schemes involving three GWAS genes (ETV5, LRP1B, and NDUFS3) in BW regulation. The compendium is expected to be useful for pathology risk estimation and for design of new pharmacological approaches in the treatment of human obesity. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0466-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Elena V Ignatieva
- Center for Brain Neurobiology and Neurogenetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia. .,Novosibirsk State University, Novosibirsk, 630090, Russia. .,Laboratory of Evolutionary Bioinformatics and Theoretical Genetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.
| | - Dmitry A Afonnikov
- Center for Brain Neurobiology and Neurogenetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.,Novosibirsk State University, Novosibirsk, 630090, Russia.,Laboratory of Evolutionary Bioinformatics and Theoretical Genetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - Olga V Saik
- Center for Brain Neurobiology and Neurogenetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - Evgeny I Rogaev
- Center for Brain Neurobiology and Neurogenetics, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.,BNRI, Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, 15604, USA
| | - Nikolay A Kolchanov
- Novosibirsk State University, Novosibirsk, 630090, Russia.,Department of Systems Biology, The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
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22
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Gao Y, Sun T. Molecular regulation of hypothalamic development and physiological functions. Mol Neurobiol 2016; 53:4275-85. [PMID: 26223804 PMCID: PMC4733441 DOI: 10.1007/s12035-015-9367-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 07/17/2015] [Indexed: 01/08/2023]
Abstract
The hypothalamus is composed of many heterogeneous nuclei that control distinct physiological functions. Investigating molecular mechanisms that regulate the specification of these nuclei and specific neuronal subtypes, and their contribution to diverse hypothalamic functions, is an exciting research focus. Here, we begin by summarizing the hypothalamic functions of feeding regulation, sleep-wake cycles, stress responses, and circadian rhythm, and describing their anatomical bases. Next, we review the molecular regulation of formation of hypothalamic territories, specification of nuclei and subnuclei, and generation of specific neurons. Finally, we highlight physiological and behavioral consequences of altered hypothalamic development. Identifying molecules that regulate hypothalamic development and function will increase our understanding of hypothalamus-related disorders, such as obesity and diabetes, and aid in the development of therapies aimed specifically at their etiologies.
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Affiliation(s)
- Yanxia Gao
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Tao Sun
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Department of Cell and Developmental Biology, Weill Medical College of Cornell University, 1300 York Avenue, Box 60, New York, NY, 10065, USA.
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23
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Geets E, Zegers D, Beckers S, Verrijken A, Massa G, Van Hoorenbeeck K, Verhulst S, Van Gaal L, Van Hul W. Copy number variation (CNV) analysis and mutation analysis of the 6q14.1-6q16.3 genes SIM1 and MRAP2 in Prader Willi like patients. Mol Genet Metab 2016; 117:383-8. [PMID: 26795956 DOI: 10.1016/j.ymgme.2016.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 01/07/2016] [Accepted: 01/07/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND Prader-Willi syndrome (PWS), caused by a paternal defect on 15q11.2-q13, is the most common form of syndromic obesity. However, patients clinically diagnosed with PWS do not always show this defect on chromosome 15q and are therefore molecularly categorized as Prader Willi like (PWL). Deletions at 6q14.1-q16.3 encompassing MRAP2 and SIM1 were reported in some individuals with a PWL phenotype. In addition, a few mutations in SIM1 and MRAP2 were also previously identified in cohorts of obese individuals. Therefore, we decided to perform copy number variation analysis of the 6q14.1-6q16.3 region followed by mutation analysis of SIM1 and MRAP2 in a PWL cohort. METHODS A genome-wide microarray analysis was performed in a group of 109 PWL patients. Next, we screened 94 PWL patients for mutations in SIM1 and MRAP2 using high-resolution melting curve analysis and Sanger sequencing. Additionally, 363 obese children and adolescents were screened for mutations in MRAP2. RESULTS No gene harboring deletions were identified at the 6q14.1-q16.3 region in the 109 PWL patients. SIM1 mutation analysis resulted in the identification of one very rare nonsynonymous variant p.P352S (rs3734354). Another rare nonsynonymous variant, p.A40S, was detected in the MRAP2 gene. No variants were identified in the 363 obese individuals. CONCLUSIONS In contrast to literature reports, no gene harboring deletions were identified in the SIM1 and MRAP2 regions in our PWL cohort. Secondly, taking into account their very low minor allele frequencies in public sequencing databases and the results of in silico prediction programs, further functional analysis of p.P352S found in SIM1 and p.A40S found in MRAP2 is useful. This would provide further support for a possible role of SIM1 and MRAP2 in the pathogenesis of the PWL phenotype albeit in a limited number of patients.
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Affiliation(s)
- Ellen Geets
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Doreen Zegers
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Sigri Beckers
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - An Verrijken
- Department of Endocrinology, Diabetology and Metabolic Diseases, Antwerp University Hospital, Antwerp, Belgium
| | - Guy Massa
- Department of Pediatrics, Jessa Hospital, Hasselt, Belgium
| | | | - Stijn Verhulst
- Department of Pediatrics, Antwerp University Hospital, Antwerp, Belgium
| | - Luc Van Gaal
- Department of Endocrinology, Diabetology and Metabolic Diseases, Antwerp University Hospital, Antwerp, Belgium
| | - Wim Van Hul
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium.
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24
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Landais E, Leroy C, Kleinfinger P, Brunet S, Koubi V, Pietrement C, Poli-Mérol ML, Fiquet C, Souchon PF, Beri M, Jonveaux P, Garnotel R, Gaillard D, Doco-Fenzy M. A pure familial 6q15q21 split duplication associated with obesity and transmitted with partial reduction. Am J Med Genet A 2015; 167:1275-84. [PMID: 25900228 DOI: 10.1002/ajmg.a.36995] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 12/29/2014] [Indexed: 01/06/2023]
Abstract
Familial transmission of chromosome 6 duplications is rare. We report on the first observation of a maternally-inherited pure segmental 6q duplication split into two segments, 6q15q16.3 and 6q16.3q21, and associated with obesity. Obesity has previously been correlated to chromosome 6 q-arm deletion but has not yet been assessed in duplications. The aim of this study was to characterize the structure of these intrachromosomal insertional translocations by classic cytogenetic banding, array-CGH, FISH, M-banding and genotyping using microsatellites and SNP array analysis, in a mother and four offspring. The duplicated 6q segments, 9.75 Mb (dup 1) and 7.05 Mb (dup 2) in size in the mother, were inserted distally into two distinct chromosome 6q regions. They were transmitted to four offspring. A son and a daughter inherited the two unbalanced insertions and displayed, like the mother, an abnormal phenotype with facial dysmorphism, intellectual disability, and morbid obesity. Curiously, two daughters with a normal phenotype inherited only the smaller segment, 6q16.3q21. The abnormal phenotype was associated with the larger proximal 6q15q16.3 duplication. We hypothesize a mechanism for this exceptional phenomenon of recurrent reduction and transmission of the duplication during meiosis in a family. We expect the interpretation of our findings to be useful for genetic counseling and for understanding the mechanisms underlying these large segmental 6q duplications and their evolution.
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Affiliation(s)
- Emilie Landais
- CHU-Reims, HMB, Service de Génétique, France.,CHU-Reims, HMB, Plateforme Régionale de Biologie Innovante, France
| | - Camille Leroy
- CHU-Reims, HMB, Service de Génétique, France.,Université de Reims Champagne-Ardenne, UFR de médecine, France
| | | | | | - Valérie Koubi
- Service de génétique Médicale, Laboratoire de génétique moléculaire, CHU Hopital Necker enfants malades, Paris, France
| | | | - Marie-Laurence Poli-Mérol
- Université de Reims Champagne-Ardenne, UFR de médecine, France.,CHU-Reims, American Memorial Hospital, Service de Chirurgie pédiatrique, France
| | - Caroline Fiquet
- CHU-Reims, American Memorial Hospital, Service de Chirurgie pédiatrique, France.,SFR CAP Santé, Reims, EA 3801, France
| | | | - Mylène Beri
- CHU-Nancy, Laboratoire de Génétique Médicale, Nancy Université, France
| | - Philippe Jonveaux
- CHU-Nancy, Laboratoire de Génétique Médicale, Nancy Université, France
| | - Roselyne Garnotel
- CHU-Reims, Laboratoire de Biochimie Médicale et Biologie Moléculaire, CNRS UMR 6198, UFR, Médecine, France
| | - Dominique Gaillard
- CHU-Reims, HMB, Service de Génétique, France.,Université de Reims Champagne-Ardenne, UFR de médecine, France
| | - Martine Doco-Fenzy
- CHU-Reims, HMB, Service de Génétique, France.,SFR CAP Santé, Reims, EA 3801, France
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25
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Abstract
Single-minded 1 (Sim1) is a basic helix-loop-helix Per-Arnt-Sim transcription factor that is important for neuronal development in the hypothalamus. Loss-of-function mutation of Sim1 causes early-onset obesity. However, it is unknown whether and how Sim1 regulates bone remodeling. In this study, we found that adult-onset Sim1 deletion increases bone formation, leading to high bone mass. In contrast, Sim1-overexpressing transgenic mice exhibit decreased bone formation and low bone mass. Sim1 does not directly regulate osteoblastogenesis, because bone marrow mesenchymal stem cells from Sim1 mutant mice display a normal capacity for osteoblast differentiation. Instead, Sim1 inhibits bone formation via stimulating the sympathetic nervous system, because sympathetic tone is decreased by Sim1 deletion but increased by Sim1 overexpression. Treatment with the β-adrenergic agonist isoproterenol effectively reverses the high bone mass in Sim1-knockout mice. These findings reveal Sim1 as a critical yet previously unrecognized modulator of skeletal homeostasis that functions through a central relay.
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Affiliation(s)
- Xunde Wang
- Departments of Pharmacology (X.W., W.W., Y.W.) and Internal Medicine (A.R.Z.) and Eugene McDermott Center for Human Growth and Development (A.R.Z.), The University of Texas Southwestern Medical Center, Dallas, Texas 75390
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26
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Butler MG, McGuire A, Manzardo AM. Clinically relevant known and candidate genes for obesity and their overlap with human infertility and reproduction. J Assist Reprod Genet 2015; 32:495-508. [PMID: 25631154 DOI: 10.1007/s10815-014-0411-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Accepted: 12/11/2014] [Indexed: 10/24/2022] Open
Abstract
PURPOSE Obesity is a growing public health concern now reaching epidemic status worldwide for children and adults due to multiple problems impacting on energy intake and expenditure with influences on human reproduction and infertility. A positive family history and genetic factors are known to play a role in obesity by influencing eating behavior, weight and level of physical activity and also contributing to human reproduction and infertility. Recent advances in genetic technology have led to discoveries of new susceptibility genes for obesity and causation of infertility. The goal of our study was to provide an update of clinically relevant candidate and known genes for obesity and infertility using high resolution chromosome ideograms with gene symbols and tabular form. METHODS We used computer-based internet websites including PubMed to search for combinations of key words such as obesity, body mass index, infertility, reproduction, azoospermia, endometriosis, diminished ovarian reserve, estrogen along with genetics, gene mutations or variants to identify evidence for development of a master list of recognized obesity genes in humans and those involved with infertility and reproduction. Gene symbols for known and candidate genes for obesity were plotted on high resolution chromosome ideograms at the 850 band level. Both infertility and obesity genes were listed separately in alphabetical order in tabular form and those highlighted when involved with both conditions. RESULTS By searching the medical literature and computer generated websites for key words, we found documented evidence for 370 genes playing a role in obesity and 153 genes for human reproduction or infertility. The obesity genes primarily affected common pathways in lipid metabolism, deposition or transport, eating behavior and food selection, physical activity or energy expenditure. Twenty-one of the obesity genes were also associated with human infertility and reproduction. Gene symbols were plotted on high resolution ideograms and their name, precise chromosome band location and description were summarized in tabular form. CONCLUSIONS Meaningful correlations in the obesity phenotype and associated human infertility and reproduction are represented with the location of genes on chromosome ideograms along with description of the gene and position in tabular form. These high resolution chromosome ideograms and tables will be useful in genetic awareness and counseling, diagnosis and treatment to improve clinical outcomes.
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Affiliation(s)
- Merlin G Butler
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, 3901 Rainbow Boulevard, MS 4015, Kansas City, KS, 66160, USA,
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27
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Farooqi SI. Genetic, molecular and physiological mechanisms involved in human obesity: Society for Endocrinology Medal Lecture 2012. Clin Endocrinol (Oxf) 2015; 82:23-8. [PMID: 25130716 DOI: 10.1111/cen.12588] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 02/24/2014] [Accepted: 08/11/2014] [Indexed: 01/09/2023]
Abstract
The health consequences of obesity represent one of the major public health challenges of our time. Whilst the role of environmental drivers such as reduced physical activity and increased food intake is widely acknowledged, the importance of biological factors which influence individual variation in weight is less readily recognised. Considerable evidence suggests that genetic factors influence a person's weight in a given environment and that these genetic influences are more potent at the extremes of the body mass index (BMI) distribution. The discovery that genetic disruption of certain pathways can lead to severe obesity has informed our current understanding of how body weight is regulated by brain circuits that regulate appetite and energy expenditure. These studies provide a framework for investigating patients and ultimately may guide the development of more rational-targeted therapies for genetically susceptible individuals with severe obesity.
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Affiliation(s)
- Sadaf I Farooqi
- University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
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28
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Montagne L, Raimondo A, Delobel B, Duban-Bedu B, Noblet FS, Dechaume A, Bersten DC, Meyre D, Whitelaw ML, Froguel P, Bonnefond A. Identification of two novel loss-of-function SIM1 mutations in two overweight children with developmental delay. Obesity (Silver Spring) 2014; 22:2621-4. [PMID: 25234154 DOI: 10.1002/oby.20886] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 08/14/2014] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Several deletions of chromosome 6q, including SIM1, were reported in obese patients with developmental delay. Furthermore, rare loss-of-function SIM1 mutations were shown to contribute to severe obesity, yet the role of these mutations in developmental delay remained unclear. Here, SIM1 in children with neurodevelopmental abnormalities was screened and the functional effect of the identified mutations was investigated. METHODS SIM1 was sequenced in 283 children presenting with developmental delay and at least overweight. The effect of the identified mutations on SIM1 transcriptional activity in stable human cell lines was assessed using luciferase gene reporter assays. RESULTS Two novel mutations (c.886A>G/p.R296G and c.925A>G/p.S309G) in two boys with variable degrees of cognitive deficits and weight issues were identified. The child mutated for p.R296G presented with a generally more severe phenotype than the p.S309G carrier (obesity, compulsive eating, neonatal hypotonia versus overweight only), while both mutations had strong loss-of-function effects on SIM1 transcriptional activity. CONCLUSIONS Severe loss-of-function SIM1 mutations can be associated with a spectrum of developmental delay phenotypes and obesity. Our data suggest that SIM1 sequencing should be performed more systematically in patients with developmental delay, even in the absence of severe obesity. These results deserve further SIM1 screening studies.
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Affiliation(s)
- Louise Montagne
- European Genomic Institute for Diabetes, Lille, France. Correspondence: Philippe Froguel ; CNRS-UMR8199, Lille Pasteur Institute, Lille, France; Lille 2 University, Lille, France; Department of Pediatrics, Saint Antoine Pediatric Hospital, Saint Vincent de Paul Hospital, Catholic University of Lille, Lille, France
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29
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Incomplete penetrance and phenotypic variability of 6q16 deletions including SIM1. Eur J Hum Genet 2014; 23:1010-8. [PMID: 25351778 DOI: 10.1038/ejhg.2014.230] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 08/12/2014] [Accepted: 09/16/2014] [Indexed: 11/08/2022] Open
Abstract
6q16 deletions have been described in patients with a Prader-Willi-like (PWS-like) phenotype. Recent studies have shown that certain rare single-minded 1 (SIM1) loss-of-function variants were associated with a high intra-familial risk for obesity with or without features of PWS-like syndrome. Although SIM1 seems to have a key role in the phenotype of patients carrying 6q16 deletions, some data support a contribution of other genes, such as GRIK2, to explain associated behavioural problems. We describe 15 new patients in whom de novo 6q16 deletions were characterised by comparative genomic hybridisation or single-nucleotide polymorphism (SNP) array analysis, including the first patient with fetopathological data. This fetus showed dysmorphic facial features, cerebellar and cerebral migration defects with neuronal heterotopias, and fusion of brain nuclei. The size of the deletion in the 14 living patients ranged from 1.73 to 7.84 Mb, and the fetus had the largest deletion (14 Mb). Genotype-phenotype correlations confirmed the major role for SIM1 haploinsufficiency in obesity and the PWS-like phenotype. Nevertheless, only 8 of 13 patients with SIM1 deletion exhibited obesity, in agreement with incomplete penetrance of SIM1 haploinsufficiency. This study in the largest series reported to date confirms that the PWS-like phenotype is strongly linked to 6q16.2q16.3 deletions and varies considerably in its clinical expression. The possible involvement of other genes in the 6q16.2q16.3-deletion phenotype is discussed.
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30
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Abstract
The heritability of obesity has long been appreciated and the genetics of obesity has been the focus of intensive study for decades. Early studies elucidating genetic factors involved in rare monogenic and syndromic forms of extreme obesity focused attention on dysfunction of hypothalamic leptin-related pathways in the control of food intake as a major contributor. Subsequent genome-wide association studies of common genetic variants identified novel loci that are involved in more common forms of obesity across populations of diverse ethnicities and ages. The subsequent search for factors contributing to the heritability of obesity not explained by these 2 approaches ("missing heritability") has revealed additional rare variants, copy number variants, and epigenetic changes that contribute. Although clinical applications of these findings have been limited to date, the increasing understanding of the interplay of these genetic factors with environmental conditions, such as the increased availability of high calorie foods and decreased energy expenditure of sedentary lifestyles, promises to accelerate the translation of genetic findings into more successful preventive and therapeutic interventions.
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Affiliation(s)
- Jill Waalen
- The Scripps Research Institute and the Scripps Translational Science Institute, La Jolla, California.
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31
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Kim MJ, Oksenberg N, Hoffmann TJ, Vaisse C, Ahituv N. Functional characterization of SIM1-associated enhancers. Hum Mol Genet 2014; 23:1700-8. [PMID: 24203700 PMCID: PMC3943516 DOI: 10.1093/hmg/ddt559] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Revised: 10/15/2013] [Accepted: 10/31/2013] [Indexed: 12/20/2022] Open
Abstract
Haploinsufficiency of the single-minded homology 1 (SIM1) gene in humans and mice leads to severe obesity, suggesting that altered expression of SIM1, by way of regulatory elements such as enhancers, could predispose individuals to obesity. Here, we identified transcriptional enhancers that could regulate SIM1, using comparative genomics coupled with zebrafish and mouse transgenic enhancer assays. Owing to the dual role of Sim1 in hypothalamic development and in adult energy homeostasis, the enhancer activity of these sequences was annotated from embryonic to adult age. Of the seventeen tested sequences, two SIM1 candidate enhancers (SCE2 and SCE8) were found to have brain-enhancer activity in zebrafish. Both SCE2 and SCE8 also exhibited embryonic brain-enhancer expression in mice, and time course analysis of SCE2 activity showed overlapping expression with Sim1 from embryonic to adult age, notably in the hypothalamus in adult mice. Using a deletion series, we identified the critical region in SCE2 that is needed for enhancer activity in the developing brain. Sequencing this region in obese and lean cohorts revealed a higher prevalence of single nucleotide polymorphisms (SNPs) that were unique to obese individuals, with one variant reducing developmental-enhancer activity in zebrafish. In summary, we have characterized two brain enhancers in the SIM1 locus and identified a set of obesity-specific SNPs within one of them, which may predispose individuals to obesity.
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Affiliation(s)
- Mee J. Kim
- Department of Bioengineering and Therapeutic Sciences
- Institute for Human Genetics
| | - Nir Oksenberg
- Department of Bioengineering and Therapeutic Sciences
- Institute for Human Genetics
| | - Thomas J. Hoffmann
- Institute for Human Genetics
- Department of Epidemiology and Biostatistics and
| | - Christian Vaisse
- Institute for Human Genetics
- Diabetes Center, University of California San Francisco, San Francisco, CA, USA
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences
- Institute for Human Genetics
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Lee EB, Mattson MP. The neuropathology of obesity: insights from human disease. Acta Neuropathol 2014; 127:3-28. [PMID: 24096619 DOI: 10.1007/s00401-013-1190-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Revised: 09/27/2013] [Accepted: 09/28/2013] [Indexed: 02/06/2023]
Abstract
Obesity, a pathologic state defined by excess adipose tissue, is a significant public health problem as it affects a large proportion of individuals and is linked with increased risk for numerous chronic diseases. Obesity is the result of fundamental changes associated with modern society including overnutrition and sedentary lifestyles. Proper energy homeostasis is dependent on normal brain function as the master metabolic regulator, which integrates peripheral signals, modulates autonomic outflow and controls feeding behavior. Therefore, many human brain diseases are associated with obesity. This review explores the neuropathology of obesity by examining brain diseases which either cause or are influenced by obesity. First, several genetic and acquired brain diseases are discussed as a means to understand the central regulation of peripheral metabolism. These diseases range from monogenetic causes of obesity (leptin deficiency, MC4R deficiency, Bardet-Biedl syndrome and others) to complex neurodevelopmental disorders (Prader-Willi syndrome and Sim1 deficiency) and neurodegenerative conditions (frontotemporal dementia and Gourmand's syndrome) and serve to highlight the central regulatory mechanisms which have evolved to maintain energy homeostasis. Next, to examine the effect of obesity on the brain, chronic neuropathologic conditions (epilepsy, multiple sclerosis and Alzheimer's disease) are discussed as examples of obesity leading to maladaptive processes which exacerbate chronic disease. Thus, obesity is associated with multiple pathways including abnormal metabolism, altered hormonal signaling and increased inflammation which act in concert to promote downstream neuropathology. Finally, the effect of anti-obesity interventions is discussed in terms of brain structure and function. Together, understanding human diseases and anti-obesity interventions leads to insights into the bidirectional interaction between peripheral metabolism and central brain function, highlighting the need for continued clinicopathologic and mechanistic studies of the neuropathology of obesity.
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Abstract
Obesity and its related metabolic consequences represent a major public health problem. Huge changes within the environment have undoubtedly contributed to the increased prevalence of obesity but genetic factors are also critical in determining an individual's predisposition to gain weight. The last two decades have seen a huge increase in the understanding of the mechanisms controlling appetitive behavior, body composition, and energy expenditure. Many regions throughout the central nervous system play critical roles in these processes but the hypothalamus, in particular, receives and orchestrates a variety of signals to bring about coordinated changes in energy balance. Reviewing data from human genetic and model organism studies, we consider how disruptions of hypothalamic pathways evolved to maintain energy homeostasis and go on to cause obesity. We highlight ongoing technological developments which continue to lead to novel insights and discuss how this increased knowledge may lead to effective therapeutic interventions in the future.
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Affiliation(s)
- Rachel Larder
- University of Cambridge Metabolic Research Laboratories, MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Chung Thong Lim
- University of Cambridge Metabolic Research Laboratories, MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Anthony P Coll
- University of Cambridge Metabolic Research Laboratories, MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.
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Izumi K, Housam R, Kapadia C, Stallings VA, Medne L, Shaikh TH, Kublaoui BM, Zackai EH, Grimberg A. Endocrine phenotype of 6q16.1-q21 deletion involving SIM1
and Prader-Willi syndrome-like features. Am J Med Genet A 2013; 161A:3137-43. [DOI: 10.1002/ajmg.a.36149] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2012] [Accepted: 05/30/2013] [Indexed: 11/09/2022]
Affiliation(s)
- Kosuke Izumi
- Division of Human Genetics; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Ryan Housam
- Division of Endocrinology and Diabetes; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Chirag Kapadia
- Division of Endocrinology; Phoenix Children's Hospital; Phoenix Arizona
| | - Virginia A. Stallings
- Division of Gastroenterology, Hepatology and Nutrition; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics, Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
| | - Livija Medne
- Division of Neurology; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Tamim H. Shaikh
- Department of Pediatrics; University of Colorado School of Medicine; Aurora Colorado
| | - Bassil M. Kublaoui
- Division of Endocrinology and Diabetes; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics, Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
| | - Elaine H. Zackai
- Division of Human Genetics; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics, Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
| | - Adda Grimberg
- Division of Endocrinology and Diabetes; The Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics, Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
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Ramachandrappa S, Raimondo A, Cali AM, Keogh JM, Henning E, Saeed S, Thompson A, Garg S, Bochukova EG, Brage S, Trowse V, Wheeler E, Sullivan AE, Dattani M, Clayton PE, Datta V, Bruning JB, Wareham NJ, O’Rahilly S, Peet DJ, Barroso I, Whitelaw ML, Farooqi IS, Farooqi IS. Rare variants in single-minded 1 (SIM1) are associated with severe obesity. J Clin Invest 2013; 123:3042-50. [PMID: 23778139 PMCID: PMC3696558 DOI: 10.1172/jci68016] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2012] [Accepted: 04/18/2013] [Indexed: 02/02/2023] Open
Abstract
Single-minded 1 (SIM1) is a basic helix-loop-helix transcription factor involved in the development and function of the paraventricular nucleus of the hypothalamus. Obesity has been reported in Sim1 haploinsufficient mice and in a patient with a balanced translocation disrupting SIM1. We sequenced the coding region of SIM1 in 2,100 patients with severe, early onset obesity and in 1,680 controls. Thirteen different heterozygous variants in SIM1 were identified in 28 unrelated severely obese patients. Nine of the 13 variants significantly reduced the ability of SIM1 to activate a SIM1-responsive reporter gene when studied in stably transfected cells coexpressing the heterodimeric partners of SIM1 (ARNT or ARNT2). SIM1 variants with reduced activity cosegregated with obesity in extended family studies with variable penetrance. We studied the phenotype of patients carrying variants that exhibited reduced activity in vitro. Variant carriers exhibited increased ad libitum food intake at a test meal, normal basal metabolic rate, and evidence of autonomic dysfunction. Eleven of the 13 probands had evidence of a neurobehavioral phenotype. The phenotypic similarities between patients with SIM1 deficiency and melanocortin 4 receptor (MC4R) deficiency suggest that some of the effects of SIM1 deficiency on energy homeostasis are mediated by altered melanocortin signaling.
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Affiliation(s)
- Shwetha Ramachandrappa
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Anne Raimondo
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Anna M.G. Cali
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Julia M. Keogh
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Elana Henning
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Sadia Saeed
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Amanda Thompson
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Sumedha Garg
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Elena G. Bochukova
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Soren Brage
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Victoria Trowse
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Eleanor Wheeler
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Adrienne E. Sullivan
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Mehul Dattani
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Peter E. Clayton
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Vippan Datta
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - John B. Bruning
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Nick J. Wareham
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Stephen O’Rahilly
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Daniel J. Peet
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Ines Barroso
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - Murray L. Whitelaw
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Discipline of Biochemistry, School of Molecular and Biomedical Science and Australian Research Council Special Research Centre for the Molecular Genetics of Development, University of Adelaide, Adelaide, Australia.
Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom.
Clinical and Molecular Genetics Unit, University College London Institute of Child Health, London, United Kingdom.
Manchester Academic Health Sciences Centre, Royal Manchester Children’s Hospital, Manchester, United Kingdom.
Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom
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Abstract
Obesity is a disorder characterized by an excess accumulation of body fat resulting from a mismatch between energy intake and expenditure. Incidence of obesity has increased dramatically in the past few years, almost certainly fuelled by a shift in dietary habits owing to the widespread availability of low-cost, hypercaloric foods. However, clear differences exist in obesity susceptibility among individuals exposed to the same obesogenic environment, implicating genetic risk factors. Numerous genes have been shown to be involved in the development of monofactorial forms of obesity. In genome-wide association studies, a large number of common variants have been associated with adiposity levels, each accounting for only a small proportion of the predicted heritability. Although the small effect sizes of obesity variants identified in genome-wide association studies currently preclude their utility in clinical settings, screening for a number of monogenic obesity variants is now possible. Such regular screening will provide more informed prognoses and help in the identification of at-risk individuals who could benefit from early intervention, in evaluation of the outcomes of current obesity treatments, and in personalization of the clinical management of obesity. This Review summarizes current advances in obesity genetics and discusses the future of research in this field and the potential relevance to personalized obesity therapy.
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Vignoli A, Scornavacca GF, Peron A, La Briola F, Canevini MP. Interstitial 6q microdeletion syndrome and epilepsy: A new patient and review of the literature. Am J Med Genet A 2013; 161A:2009-15. [DOI: 10.1002/ajmg.a.35993] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2013] [Accepted: 04/01/2013] [Indexed: 11/10/2022]
Affiliation(s)
- Aglaia Vignoli
- Epilepsy Center, San Paolo Hospital, Department of Medicine Surgery and Dentistry; University of Milan; Milan; Italy
| | - Giulia Federica Scornavacca
- Epilepsy Center, San Paolo Hospital, Department of Medicine Surgery and Dentistry; University of Milan; Milan; Italy
| | - Angela Peron
- Epilepsy Center, San Paolo Hospital, Department of Medicine Surgery and Dentistry; University of Milan; Milan; Italy
| | - Francesca La Briola
- Epilepsy Center, San Paolo Hospital, Department of Medicine Surgery and Dentistry; University of Milan; Milan; Italy
| | - Maria Paola Canevini
- Epilepsy Center, San Paolo Hospital, Department of Medicine Surgery and Dentistry; University of Milan; Milan; Italy
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Snyder EE, Walts B, Pérusse L, Chagnon YC, Weisnagel SJ, Rankinen T, Bouchard C. The Human Obesity Gene Map: The 2003 Update. ACTA ACUST UNITED AC 2012; 12:369-439. [PMID: 15044658 DOI: 10.1038/oby.2004.47] [Citation(s) in RCA: 207] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This is the tenth update of the human obesity gene map, incorporating published results up to the end of October 2003 and continuing the previous format. Evidence from single-gene mutation obesity cases, Mendelian disorders exhibiting obesity as a clinical feature, quantitative trait loci (QTLs) from human genome-wide scans and animal crossbreeding experiments, and association and linkage studies with candidate genes and other markers is reviewed. Transgenic and knockout murine models relevant to obesity are also incorporated (N = 55). As of October 2003, 41 Mendelian syndromes relevant to human obesity have been mapped to a genomic region, and causal genes or strong candidates have been identified for most of these syndromes. QTLs reported from animal models currently number 183. There are 208 human QTLs for obesity phenotypes from genome-wide scans and candidate regions in targeted studies. A total of 35 genomic regions harbor QTLs replicated among two to five studies. Attempts to relate DNA sequence variation in specific genes to obesity phenotypes continue to grow, with 272 studies reporting positive associations with 90 candidate genes. Fifteen such candidate genes are supported by at least five positive studies. The obesity gene map shows putative loci on all chromosomes except Y. Overall, more than 430 genes, markers, and chromosomal regions have been associated or linked with human obesity phenotypes. The electronic version of the map with links to useful sites can be found at http://obesitygene.pbrc.edu.
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Affiliation(s)
- Eric E Snyder
- Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana 70808-4124, USA
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Pérusse L, Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, Snyder EE, Bouchard C. The Human Obesity Gene Map: The 2004 Update. ACTA ACUST UNITED AC 2012; 13:381-490. [PMID: 15833932 DOI: 10.1038/oby.2005.50] [Citation(s) in RCA: 212] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
This paper presents the eleventh update of the human obesity gene map, which incorporates published results up to the end of October 2004. Evidence from single-gene mutation obesity cases, Mendelian disorders exhibiting obesity as a clinical feature, transgenic and knockout murine models relevant to obesity, quantitative trait loci (QTLs) from animal cross-breeding experiments, association studies with candidate genes, and linkages from genome scans is reviewed. As of October 2004, 173 human obesity cases due to single-gene mutations in 10 different genes have been reported, and 49 loci related to Mendelian syndromes relevant to human obesity have been mapped to a genomic region, and causal genes or strong candidates have been identified for most of these syndromes. There are 166 genes which, when mutated or expressed as transgenes in the mouse, result in phenotypes that affect body weight and adiposity. The number of QTLs reported from animal models currently reaches 221. The number of human obesity QTLs derived from genome scans continues to grow, and we have now 204 QTLs for obesity-related phenotypes from 50 genome-wide scans. A total of 38 genomic regions harbor QTLs replicated among two to four studies. The number of studies reporting associations between DNA sequence variation in specific genes and obesity phenotypes has also increased considerably with 358 findings of positive associations with 113 candidate genes. Among them, 18 genes are supported by at least five positive studies. The obesity gene map shows putative loci on all chromosomes except Y. Overall, >600 genes, markers, and chromosomal regions have been associated or linked with human obesity phenotypes. The electronic version of the map with links to useful publications and genomic and other relevant sites can be found at http://obesitygene.pbrc.edu.
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Affiliation(s)
- Louis Pérusse
- Division of Kinesiology, Department of Social and Preventive Medicine, Faculty of Medicine, Laval University, Sainte-Foy, Québec, Canada
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Abstract
The obesity epidemic is associated with the recent availability of highly palatable and inexpensive caloric food as well as important changes in lifestyle. Genetic factors, however, play a key role in regulating energy balance and numerous twin studies have estimated the BMI heritability between 40 and 70%. While common variants, identified through genome-wide association studies (GWAS) point toward new pathways, their effect size are too low to be of any use in the clinic. This review therefore concentrates on genes and genomic regions associated with very high risks of human obesity. Although there are no consensus guidelines, we review how the knowledge on these "causal factors" can be translated into the clinic for diagnostic purposes. We propose genetic workups guided by clinical manifestations in patients with severe early-onset obesity. While etiological diagnoses are unequivocal in a minority of patients, new genomic tools such as Comparative Genomic Hybridization (CGH) array, have allowed the identification of novel "causal" loci and next-generation sequencing brings the promise of accelerated pace for discoveries relevant to clinical practice.
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Affiliation(s)
- F Phan-Hug
- Endocrinology-Diabetology Unit, Department of Pediatrics, CHUV, University Hospital, Lausanne, Switzerland
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Genotype–phenotype correlation in interstitial 6q deletions: a report of 12 new cases. Neurogenetics 2012; 13:31-47. [DOI: 10.1007/s10048-011-0306-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2011] [Accepted: 11/22/2011] [Indexed: 01/04/2023]
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Hillard CJ, Weinlander KM, Stuhr KL. Contributions of endocannabinoid signaling to psychiatric disorders in humans: genetic and biochemical evidence. Neuroscience 2011; 204:207-29. [PMID: 22123166 DOI: 10.1016/j.neuroscience.2011.11.020] [Citation(s) in RCA: 115] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2011] [Revised: 11/05/2011] [Accepted: 11/08/2011] [Indexed: 11/28/2022]
Abstract
The endocannabinoid signaling system is a widespread, neuromodulatory system in brain and is also widely utilized in the periphery to modulate metabolic functions and the immune system. Preclinical data demonstrate that endocannabinoid signaling is an important stress buffer and modulates emotional and cognitive functions. These data suggest the hypothesis that endocannabinoid signaling could be dysfunctional in a number of mental disorders. Genetic polymorphisms in the human genes for two important proteins of the endocannabinoid signaling system, the CB1 cannabinoid receptor (CB1R) and fatty acid amide hydrolase (FAAH), have been explored in the context of normal and pathological conditions. In the case of the gene for FAAH, the mechanistic relationships among the common genetic polymorphism, the expression of the FAAH protein, and its likely impact on endocannabinoid signaling are understood. However, multiple polymorphisms in the gene for the CB1R occur and are associated with human phenotypic differences without an understanding of the functional relationships among the gene, mRNA, protein, and protein function. The endocannabinoid ligands are found in the circulation, and several studies have identified changes in their concentrations under various conditions. These data are reviewed for the purpose of generating hypotheses and to encourage further studies in this very interesting and important area.
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Affiliation(s)
- C J Hillard
- Department of Pharmacology and Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, WI, USA.
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Dasouki MJ, Youngs EL, Hovanes K. Structural Chromosome Abnormalities Associated with Obesity: Report of Four New subjects and Review of Literature. Curr Genomics 2011; 12:190-203. [PMID: 22043167 PMCID: PMC3137004 DOI: 10.2174/138920211795677930] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2011] [Revised: 03/29/2011] [Accepted: 03/30/2011] [Indexed: 11/22/2022] Open
Abstract
Obesity in humans is a complex polygenic trait with high inter-individual heritability estimated at 40-70%. Candidate gene, DNA linkage and genome-wide association studies (GWAS) have allowed for the identification of a large set of genes and genomic regions associated with obesity. Structural chromosome abnormalities usually result in congenital anomalies, growth retardation and developmental delay. Occasionally, they are associated with hyperphagia and obesity rather than growth delay. We report four new individuals with structural chromosome abnormalities involving 10q22.3-23.2, 16p11.2 and Xq27.1-q28 chromosomal regions with early childhood obesity and developmental delay. We also searched and summarized the literature for structural chromosome abnormalities reported in association with childhood obesity.
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Affiliation(s)
- Majed J Dasouki
- Departments of Pediatrics and Internal Medicine, Kansas University Medical Center, Kansas City, Kansas, USA
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Blakemore AIF, Froguel P. Investigation of Mendelian forms of obesity holds out the prospect of personalized medicine. Ann N Y Acad Sci 2011; 1214:180-9. [PMID: 21175686 DOI: 10.1111/j.1749-6632.2010.05880.x] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Mendelian forms of obesity are already known to account for approximately 5% of the severely obese but are currently underinvestigated. In contrast, there has been much recent concentration on genome-wide single nucleotide polymorphism (SNP) associations in obesity, with particular emphasis given to the role of the fat mass and obesity associated (FTO) gene. Unfortunately, despite the enormous resources devoted to this work, none of the SNP markers in the ∼30 genes discovered to have associations with common obesity have meaningful predictive power. This is very different from the situation for Mendelian obesity, where mutations have very clear effects on phenotype. Study of Mendelian obesity has also added significantly to our understanding of mechanisms of appetite regulation, with all known causative genes being active in the brain and most forming part of the leptin-melanocortin signaling pathway. Investigation of genomic structural variation has also recently revealed deletions causing obesity, sometimes with concomitant neurocognitive dysfunction. Advances in next-generation sequencing are expected to uncover additional highly penetrant causes of obesity. Screening for Mendelian forms of obesity is rarely carried out but holds considerable promise for improved clinical care of these high-risk patients.
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Affiliation(s)
- Alexandra I F Blakemore
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom.
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Effects of deficiency of the G protein Gsα on energy and glucose homeostasis. Eur J Pharmacol 2011; 660:119-24. [PMID: 21208600 DOI: 10.1016/j.ejphar.2010.10.105] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2010] [Revised: 09/24/2010] [Accepted: 10/12/2010] [Indexed: 02/07/2023]
Abstract
G(s)α is a ubiquitously expressed G protein α-subunit that couples receptors to the generation of intracellular cyclic AMP. The G(s)α gene GNAS is a complex gene that undergoes genomic imprinting, an epigenetic phenomenon that leads to differential expression from the two parental alleles. G(s)α is imprinted in a tissue-specific manner, being expressed primarily from the maternal allele in a small number of tissues. Albright hereditary osteodystrophy is a monogenic obesity disorder caused by heterozygous G(s)α mutations but only when the mutations are maternally inherited. Studies in mice indicate a similar parent-of-origin effect on energy and glucose metabolism, with maternal but not paternal mutations leading to obesity, reduced sympathetic nerve activity and energy expenditure, glucose intolerance and insulin resistance, with no primary effect on food intake. These effects result from G(s)α imprinting leading to severe G(s)α deficiency in one or more regions of the central nervous system, and are associated with a specific defect in melanocortins to stimulate sympathetic nerve activity and energy expenditure.
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Ma L, Hanson RL, Traurig MT, Muller YL, Kaur BP, Perez JM, Meyre D, Fu M, Körner A, Franks PW, Kiess W, Kobes S, Knowler WC, Kovacs P, Froguel P, Shuldiner AR, Bogardus C, Baier LJ. Evaluation of A2BP1 as an obesity gene. Diabetes 2010; 59:2837-45. [PMID: 20724578 PMCID: PMC2963542 DOI: 10.2337/db09-1604] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE A genome-wide association study (GWAS) in Pima Indians (n = 413) identified variation in the ataxin-2 binding protein 1 gene (A2BP1) that was associated with percent body fat. On the basis of this association and the obese phenotype of ataxin-2 knockout mice, A2BP1 was genetically and functionally analyzed to assess its potential role in human obesity. RESEARCH DESIGN AND METHODS Variants spanning A2BP1 were genotyped in a population-based sample of 3,234 full-heritage Pima Indians, 2,843 of whom were not part of the initial GWAS study and therefore could serve as a sample to assess replication. Published GWAS data across A2BP1 were additionally analyzed in French adult (n = 1,426) and children case/control subjects (n = 1,392) (Meyre et al. Nat Genet 2009;41:157-159). Selected variants were genotyped in two additional samples of Caucasians (Amish, n = 1,149, and German children case/control subjects, n = 998) and one additional Native American (n = 2,531) sample. Small interfering RNA was used to knockdown A2bp1 message levels in mouse embryonic hypothalamus cells. RESULTS No single variant in A2BP1 was reproducibly associated with obesity across the different populations. However, different variants within intron 1 of A2BP1 were associated with BMI in full-heritage Pima Indians (rs10500331, P = 1.9 × 10(-7)) and obesity in French Caucasian adult (rs4786847, P = 1.9 × 10(-10)) and children (rs8054147, P = 9.2 × 10(-6)) case/control subjects. Reduction of A2bp1 in mouse embryonic hypothalamus cells decreased expression of Atxn2, Insr, and Mc4r. CONCLUSIONS Association analysis suggests that variation in A2BP1 influences obesity, and functional studies suggest that A2BP1 could potentially affect adiposity via the hypothalamic MC4R pathway.
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Affiliation(s)
- Lijun Ma
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Robert L. Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Michael T. Traurig
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Yunhua L. Muller
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Bakhshish P. Kaur
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Jessica M. Perez
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - David Meyre
- CNRS 8090-Institute of Biology, Pasteur Institute, Lille, France
| | - Mao Fu
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland
| | - Antje Körner
- University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Paul W. Franks
- Clinical Research Center, Malmö General Hospital, Lund University, Malmö, Sweden
| | - Wieland Kiess
- University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - William C. Knowler
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Peter Kovacs
- Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig, Germany
| | - Philippe Froguel
- CNRS 8090-Institute of Biology, Pasteur Institute, Lille, France
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland
| | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
| | - Leslie J. Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona
- Corresponding author: Leslie J. Baier,
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Abstract
Hypothalamic obesity (HyOb) was first defined as the significant polyphagia and weight gain that occurs after extensive suprasellar operations for excision of hypothalamic tumours. However, polyphagia and weight gain complicate other disorders related to the hypothalamus, including those that cause structural damage to the hypothalamus like tumours, trauma, radiotherapy; genetic disorders such as Prader-Willi syndrome; side effects of psychotropic drugs; and mutations in several genes involved in hypothalamic satiety signalling. Moreover, 'simple' obesity is associated with polymorphisms in several genes involved in hypothalamic weight-regulating pathways. Thus, understanding HyOb may enhance our understanding of 'simple' obesity. This review will claim that HyOb is a far wider phenomenon than hitherto understood by the narrow definition of post-surgical weight gain. It will emphasize the similarity in clinical characteristics and therapeutic approaches for HyOb, as well as its mechanisms. HyOb, regardless of its aetiology, is a result of impairment in hypothalamic regulatory centres of body weight and energy expenditure. The pathophysiology includes loss of sensitivity to afferent peripheral humoral signals, such as, leptin on the one hand and dysfunctional afferent signals, on the other hand. The most important afferent signals deranged are energy regulation by the sympathetic nervous system and regulation of insulin secretion. Dys-regulation of 11β-hydroxysteroid dehydrogenase 1 (11β-HSD1) activity and melatonin may also have a role in the development of HyOb. The complexity of the syndrome requires simultaneous targeting of several mechanisms that are deranged in the HyOb patient. We review the studies evaluating possible treatment strategies, including sympathomimetics, somatostatin analogues, triiodothyronine, sibutramine, and surgery.
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Affiliation(s)
- I Hochberg
- Rambam Medical Center and Rappaport Family Faculty of Medicine and Research Institute, Technion - Israel Institute of Technology, Haifa, Israel.
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Bush JR, Wevrick R. Loss of Necdin impairs myosin activation and delays cell polarization. Genesis 2010; 48:540-53. [DOI: 10.1002/dvg.20658] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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The fat-induced satiety factor oleoylethanolamide suppresses feeding through central release of oxytocin. J Neurosci 2010. [PMID: 20554860 DOI: 10.1523/jneur osci.0036-10.2010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Oleoylethanolamide (OEA) is a biologically active lipid amide that is released by small-intestinal enterocytes during the absorption of dietary fat and inhibits feeding by engaging the nuclear receptor, peroxisome proliferator-activated receptor-alpha (PPAR-alpha). Previous studies have shown that the anorexic effects of systemically administered OEA require the activation of sensory afferents of the vagus nerve. The central circuits involved in mediating OEA-induced hypophagia remain unknown. In the present study, we report the results of in situ hybridization and immunohistochemistry experiments in rats and mice, which show that systemic injections of OEA (5-10 mg kg(-1), intraperitoneal) enhance expression of the neuropeptide oxytocin in magnocellular neurons of the paraventricular nucleus (PVN) and supraoptic nucleus (SON) of the hypothalamus. No such effect is observed with other hypothalamic neuropeptides, including vasopressin, thyrotropin-releasing hormone and pro-opiomelanocortin. The increase in oxytocin expression elicited by OEA was absent in mutant PPAR-alpha-null mice. Pharmacological blockade of oxytocin receptors in the brain by intracerebroventricular infusion of the selective oxytocin antagonist, L-368,899, prevented the anorexic effects of OEA. The results suggest that OEA suppresses feeding by activating central oxytocin transmission.
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